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Question: 1 / 815

What defines data elements, their meanings, and their allowable values?

Data dictionary

A data dictionary is a comprehensive resource that defines data elements, detailing their meanings, relationships, and allowable values. This resource serves as a critical tool for business analysts and data professionals, as it provides standardized definitions that ensure all stakeholders have a shared understanding of the data. Additionally, it helps maintain consistency in data usage, which is essential for effective data management, analysis, and reporting.

In contrast, nonfunctional requirements analysis focuses on the quality attributes of a system, such as performance, usability, and reliability, rather than detailed definitions of data elements. Problem tracking involves documenting and managing issues that arise during a project and is not concerned with the definitions or values of data. A checklist serves as a tool for validating processes or tasks but does not provide in-depth definitions or meaning related to data elements. Therefore, a data dictionary is the most appropriate choice for defining data elements, their meanings, and allowable values.

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Nonfunctional requirements analysis

Problem tracking

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